Quantitative Evaluation of Block-iterative Reconstruction Image in PET: Comparison of the Dynamic RAMLA Algorithm and OSEM Algorithm

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[Quantitative evaluation of block-iterative reconstruction image in PET: comparison of the dynamic RAMLA algorithm and OSEM algorithm].

PURPOSE Iterative reconstruction has been successfully used in whole-body PET imaging because of reductions in noise and scanning time. However, there are plural algorithms for image reconstruction such as OSEM, RAMLA and Dynamic RAMLA. Dynamic RAMLA (DRAMA) is an iterative algorithm similar to RAMLA, but the relaxation parameter is controlled in such a way that the propagation of noise from pr...

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Studying the properties of the updating coefficients in the OSEM algorithm for iterative image reconstruction in PET

We have studied the properties of the pixel updating coefficients in the 2D ordered subsets expectation maximization (OSEM) algorithm for iterative image reconstruction in positron emission tomography, in order to address the problem of image quality degradation-a known property of the technique after a number of iterations. The behavior of the updating coefficients has been extensively analyze...

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Experimental and clinical evaluation of iterative reconstruction (OSEM) in dynamic PET: quantitative characteristics and effects on kinetic modeling.

UNLABELLED The purpose of this study was to investigate the quantitative properties and effects of ordered-subset expectation maximization (OSEM) on kinetic modeling compared with filtered backprojection (FBP) in dynamic PET studies. Both phantom and patient studies were performed. METHODS For phantom studies dynamic two-dimensional emission scans with 10-min frames and 20-min scan intervals ...

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Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies

The reconstruction of dynamic PET data is usually performed using filtered backprojection algorithms (FBP). This method is fast, robust, linear and yields reliable quantitative results. However, the use of FBP for low count data, such as dynamic PET data, generally results in poor visual image quality, exhibiting high noise, disturbing streak artifacts and low contrast. These signal-to-noise ra...

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ژورنال

عنوان ژورنال: Japanese Journal of Radiological Technology

سال: 2007

ISSN: 0369-4305,1881-4883

DOI: 10.6009/jjrt.63.1138